finetuned-bb – AI Model by boooooook | AlphaNeural AI

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boooooook/
finetuned-bb

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audio-classification

generated_from_trainer

boooooook/benben

ntu-spml/distilhubert

endpoints_compatible

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boooooook/finetuned-benben

This model is a fine-tuned version of ntu-spml/distilhubert on the benben dataset. It achieves the following results on the evaluation set:

Loss: 0.0012
Accuracy: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6001	1.0	27	0.5180	0.9583
0.1095	2.0	54	0.0390	1.0
0.0113	3.0	81	0.0063	1.0
0.0051	4.0	108	0.0032	1.0
0.0034	5.0	135	0.0022	1.0
0.0028	6.0	162	0.0018	1.0
0.0024	7.0	189	0.0015	1.0
0.0022	8.0	216	0.0014	1.0
0.002	9.0	243	0.0013	1.0
0.0019	10.0	270	0.0012	1.0

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1